Face Recognition on Edge Devices - Mobile, CCTV, NBOX
Run NIST-benchmarked face recognition directly on edge hardware. No cloud dependency. On-device inference on commodity devices with as little as 1GB RAM. From a single Android phone to hundreds of CCTV feeds via NBOX edge gateways.
Why Edge Face Recognition?
Cloud-based face recognition sends biometric data over the internet, creating latency, privacy risks, and connectivity dependencies. Edge face recognition eliminates all three.
Zero Latency
Sub-second recognition. No network round-trips. Results are instant.
Data Sovereignty
Biometric data never leaves the device or premise. Full compliance with privacy regulations.
No Cloud Costs
No per-API-call pricing. One-time deployment cost. No recurring cloud compute bills.
Supported Edge Devices
Mobile Phones
Commodity Android devices with 1GB+ RAM. No specialized hardware needed.
1:1 and 1:N matching, passive liveness, offline operation
NBOX Edge Gateway
Router-sized AI gateway. Connects to existing CCTV via RTSP/ONVIF.
Up to 16 cameras, real-time processing, plug-and-play
On-Premise Servers
For large-scale deployments with hundreds of cameras.
Scalable to thousands of feeds, full data sovereignty
Embedded / IoT
Kiosks, access control panels, and custom hardware integrations.
SDK for Android, REST API for any platform
Frequently Asked Questions
What is edge face recognition?
Edge face recognition processes biometric identification directly on local hardware - mobile phones, edge gateways, or on-premise servers - rather than sending data to the cloud. This eliminates network latency, ensures data sovereignty, and enables offline operation.
Can face recognition run on edge devices with limited hardware?
Yes. FaceTagr's optimized AI model runs on devices with as little as 1GB RAM, including commodity Android phones. The NBOX edge gateway handles up to 16 camera feeds simultaneously in a router-sized form factor. No GPU required for most deployments.
What is the advantage of edge face recognition over cloud?
Edge processing eliminates cloud dependency, reduces latency to under 1 second, ensures data never leaves the premise, works without internet, and removes per-API-call costs. For regulated industries and sovereign deployments, edge is the only compliant option.
Which devices support edge face recognition?
FaceTagr deploys on Android phones (1GB+ RAM), tablets, NBOX edge gateways (handles 16 CCTV feeds), dedicated kiosks, Raspberry Pi-class devices, and on-premise servers. Any RTSP/ONVIF camera can be connected.
Deploy Edge Face Recognition Today
See FaceTagr running on your hardware - mobile, CCTV, or edge server.
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